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What is Data masking?

Data masking is a security technique that replaces real data with fictitious yet structurally similar data to prevent unauthorized access while maintaining usability. It is widely used in testing, analytics, and compliance processes to protect sensitive data such as personally identifiable information (PII) and financial records.

Unstructured Data
Unstructured data refers to data that does not follow a predefined format, such as text, images, videos, and social media posts. It requires advanced processing techniques like NLP and deep learning for analysis.
Source data
Source data refers to the original, unaltered information collected from primary sources before any processing or analysis. It serves as the foundation for data-driven decision-making in research, AI training, and analytics.
Data Mining
Data mining is the process of discovering patterns, correlations, and insights from large datasets using machine learning, statistics, and database techniques. It is widely applied in marketing, fraud detection, healthcare, and financial analysis to uncover hidden trends and make data-driven decisions.

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